Alibaba, Tencent and China's AI stocks: a separate AI bubble?

Is China’s AI sector a separate AI bubble or part of the global one?

2 readings compete. In the first, China’s AI stocks rise and fall with global AI sentiment, since the same investors, the same technology and the same headlines drive them. In the second, China is a market of its own, with domestic investors, domestic rules and domestic customers, and its prices follow local conditions.

Both can be partly true. The useful approach is to measure the degree of linkage company by company. A firm that sells to Chinese customers and funds itself from Chinese cash flow behaves differently from one that depends on global chips and foreign investors. This page gives you 5 readings to place each firm on that scale.

How does the funding of Alibaba and Tencent shape an AI bubble?

Large platform groups such as Alibaba and Tencent run profitable core businesses in commerce, advertising, games and cloud. They can pay for AI work from that cash flow. A firm that funds AI from its own profit is less exposed to a closed funding market than a start-up that needs new rounds every year.

The first reading compares AI spending with operating cash flow. A small ratio means AI is a side project that the core business supports. A large and rising ratio means the group leans on AI results to justify its spending. Annual reports show both figures, so you can follow the ratio across several years.

How does chip supply change the AI bubble risk for China’s AI stocks?

Access to advanced chips shapes how fast a Chinese AI firm can grow. Where supply is limited, firms use what they can obtain, adapt software to less powerful hardware, and rely more on domestic suppliers. Limited supply slows spending, and slower spending lowers one of the features of a bubble.

The second reading asks which share of a firm’s computing comes from sources it controls. A high share gives stability, since orders do not depend on outside decisions. A low share ties the firm to rules and trade conditions that can change. Companies describe their supply in broad terms, which is enough for a first score.

How do Chinese AI rules affect the AI bubble question?

China’s authorities set requirements for AI services, data handling and content. These rules shape which products reach customers and how fast. They also reduce some kinds of speculation by directing where capital goes. A rule can lift one company and limit another on the same day, so policy is a reading in itself.

The third reading is policy direction: whether recent measures support AI investment, steer it, or restrict it. Official announcements and company statements show the direction. A supportive direction lowers the chance of a sudden stop, and a tightening direction raises it. Record the direction each quarter next to the share prices.

Do China’s AI stock valuations follow global AI valuations?

Compare the price movement of Chinese AI stocks with global AI names over the same months. If they rise and fall together, global sentiment drives them. If they diverge for long periods, local factors dominate. You can chart both series from public price data in minutes.

The fourth reading adds valuation levels: how many years of earnings each price represents. A Chinese AI stock priced at a lower multiple than a global peer has less to lose in a global fall, though local risks remain. A similar multiple suggests shared enthusiasm. Use ranges rather than single numbers, since multiples change daily.

Why does the customer base matter for Chinese AI stocks in a bubble?

A firm whose AI revenue comes from Chinese companies, shoppers and public bodies depends on that economy. A firm that sells abroad depends on foreign demand and on trade conditions as well. The fifth reading is the split of AI revenue by region, which large groups report in broad categories.

Customer base also tests the adoption question that sits at the centre of the bubble debate. Real use by paying customers supports prices, while pilot projects and free trials do not. The EQOS Asia AI study reports 95% of AI projects failing in production (EQOS Asia AI study, April 2026), so ask whether a firm’s customers have moved beyond pilots.

What does the EQOS Asia study say about China’s AI bubble question?

The EQOS Asia AI study scores the enterprise AI market at 0.337, in the fragile zone where a shock can tip the system. It records valuations up ×4 in 18 months and about $200B a year invested. Those figures describe the global market, and they frame the Chinese case as a variation on the same pattern or as a separate one.

The study does not split the score by country, so treat its numbers as the backdrop and the 5 readings as the local layer. If the local readings match the global ones, you face one bubble. If they differ, you face 2, and each needs its own sizing. This page is general information, not investment advice.

How can you size exposure to China’s AI stocks within an AI bubble?

Score each holding on the 5 readings: funding, chips, rules, valuation ties, and customers. Mark each as local, global, or mixed. A holding that scores local on most readings adds diversification against a global AI fall. A holding that scores global adds to the exposure you already carry elsewhere.

The EQOS Asia method page shows how a score is built, and the Λ simulator lets you test your own inputs. If a decision involves China AI exposure from Singapore, ASEAN or Hong Kong, a 30-minute pre-diagnostic applies the same scoring to your case and returns ranked options you can compare.

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About the author

Stéphane Jambu

President, EQOS Forecast Asia

Stéphane Jambu leads EQOS Forecast Asia and works as a consultant in e-commerce, search visibility, and AI. LinkedIn profile